A structural equation model to explore sociodemographic, macroeconomic, and health factors affecting life expectancy in Oman

Introduction: the factors determining life expectancy (LE) are crucial for policymakers to study in implementing an effective and accurate intervention in society. In Oman, the available data over the past four decades were not extracted to develop a statistical model to understand how the sociodemographic (SD), macroeconomic (ME), and health-status and resources (HSR) factors affecting LE. The study was aimed at creating a representative model to explain the factors affecting LE in Oman and examine the direct and indirect effects of SD, ME, and HSR in LE in Oman. Methods: the research was a retrospective, ecological, time-series study design to collect the annual published data on SD, ME, and HSR in Oman from all available resources from 1978 to 2018. The data were then analyzed with structural equation modeling (SEM) method using IBM (R) SPSS (R) Amos 24 for the study of their impacts in LE. Results: in Oman, using SEM, the SD, ME, and HSR significantly and directly affected LE by the estimate of -0.92 (p < 0.001), -0.15 (p < 0.001), and 0.23 (p < 0.001) respectively. Conclusion: the study was the first attempt to analyze all the different aspects of LE comprehensively in Oman. In the case of Oman, the health resource is an important factor that need to be addressed to increase or to maintain the current LE. Hence, during social hardship or economic recession, health-related support by the government should be continued or even improved because of its positive effect on LE.

Automated summary

This study aimed to analyze the factors affecting life expectancy in Oman and establish a representative model. The results showed that sociodemographic, macroeconomic, and health-status and resources factors significantly and directly influenced life expectancy in Oman. Therefore, during social and economic hardships, the government should continue or improve health-related support.